An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators

1 code implementation • 23 Aug 2023 • Hadi Esmaeilzadeh, Soroush Ghodrati, Andrew B. Kahng, Joon Kyung Kim, Sean Kinzer, Sayak Kundu, Rohan Mahapatra, Susmita Dey Manasi, Sachin Sapatnekar, Zhiang Wang, Ziqing Zeng

Parameterizable machine learning (ML) accelerators are the product of recent breakthroughs in ML.

Assessment of Reinforcement Learning for Macro Placement

1 code implementation • 21 Feb 2023 • Chung-Kuan Cheng, Andrew B. Kahng, Sayak Kundu, Yucheng Wang, Zhiang Wang

We provide open, transparent implementation and assessment of Google Brain's deep reinforcement learning approach to macro placement and its Circuit Training (CT) implementation in GitHub.

reinforcement-learning Reinforcement Learning (RL)